引用本文:朱燕玲,姚玉刚,丁黄达.苏州市机动车尾气中主要污染物特征分析[J].环境监控与预警,2019,11(1):45-48
ZHU Yan-ling, YAO Yu-gang, DING Huang-da.Analysis of Main Pollutants in Motor Vehicle Exhaust in Suzhou City[J].Environmental Monitoring and Forewarning,2019,11(1):45-48
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苏州市机动车尾气中主要污染物特征分析
朱燕玲,姚玉刚,丁黄达
江苏省环境保护空气复合污染监测重点实验室,江苏省苏州环境监测中心,江苏 苏州 215004
摘要:
为了解苏州市机动车尾气中主要污染物浓度特征,运用SPSS19.0时间序列建模器,预测了未来5年(2017—2021年)苏州市机动车保有量,分析和对比了苏州市路边站点和国控站点的主要污染物数据。结果表明,未来5年,苏州市机动车保有量呈现上升趋势,2020年机动车保有量将达到373.1万辆,相比2014年增加约37.5%;路边站点NO2值略高于国控站点,但差异不显著;路边站点CO值明显高于国控站点;路边站点PM10和PM2.5值总体略高于国控站点;路边站点苯系物值高于国控站点。
关键词:  苏州市  机动车尾气  污染物  机动车保有量
DOI:
分类号:X831
文献标识码:B
基金项目:
Analysis of Main Pollutants in Motor Vehicle Exhaust in Suzhou City
ZHU Yan-ling, YAO Yu-gang, DING Huang-da
Key Laboratory of Atmospheric Combined Pollution Monitoring, Environmental Protection Department of Jiangsu Province,Jiangsu Suzhou Environmental Monitor Center, Suzhou,Jiangsu 215004, China
Abstract:
In order to study the characteristics of the main pollutants in the vehicle exhausting gas in Suzhou, the SPSS19.0 time series modeler was used to predict Suzhou motor vehicle ownership in the next 5 years (2017—2021), the main pollutant concentration monitoring data of the roadside station and the national control point in Suzhou were analyzed and compared. The results showed that Suzhou motor vehicle ownership shows an upward trend in next 5 years. Motor vehicle ownership will reach 3.731 million in 2020, increase 37.5% (compared to 2014). The concentration of NO2 in roadside stations was slightly higher than that in national control city points with no significant difference. The concentration of CO in roadside stations was significantly higher than that in national control city points. The concentration of PM10 and PM2.5 in roadside stations was slightly higher than that in national control city points. The concentration of benzenes in roadside stations was higher than that in national control city points.
Key words:  Suzhou City  Motor vehicle exhaust  Pollutants  Motor vehicle ownership